{
 "cells": [
  {
   "metadata": {},
   "cell_type": "code",
   "outputs": [],
   "execution_count": null,
   "source": "",
   "id": "7915af20e462096f"
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "1. 导入必要的库",
   "id": "2334db50b6a13735"
  },
  {
   "cell_type": "code",
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2024-09-26T16:14:52.879911Z",
     "start_time": "2024-09-26T16:14:52.862912Z"
    }
   },
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.optim as optim\n",
    "import torchvision.transforms as transforms\n",
    "import torchvision.datasets as datasets\n",
    "import matplotlib.pyplot as plt\n",
    "from torch.utils.data import DataLoader\n"
   ],
   "outputs": [],
   "execution_count": 2
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "2. 数据集下载与预处理",
   "id": "ee70ac88e8deec35"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-26T16:16:38.294720Z",
     "start_time": "2024-09-26T16:16:10.440483Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 数据集预处理\n",
    "transform = transforms.Compose([\n",
    "    transforms.ToTensor(),\n",
    "    transforms.Normalize((0.5,), (0.5,))\n",
    "])\n",
    "\n",
    "# 下载Fashion-MNIST\n",
    "train_dataset = datasets.FashionMNIST(root='./data', train=True, download=True, transform=transform)\n",
    "test_dataset = datasets.FashionMNIST(root='./data', train=False, download=True, transform=transform)\n",
    "\n",
    "train_loader = DataLoader(dataset=train_dataset, batch_size=64, shuffle=True)\n",
    "test_loader = DataLoader(dataset=test_dataset, batch_size=64, shuffle=False)\n"
   ],
   "id": "b3290fc97206c998",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-images-idx3-ubyte.gz\n",
      "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-images-idx3-ubyte.gz to ./data\\FashionMNIST\\raw\\train-images-idx3-ubyte.gz\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100.0%\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Extracting ./data\\FashionMNIST\\raw\\train-images-idx3-ubyte.gz to ./data\\FashionMNIST\\raw\n",
      "\n",
      "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-labels-idx1-ubyte.gz\n",
      "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-labels-idx1-ubyte.gz to ./data\\FashionMNIST\\raw\\train-labels-idx1-ubyte.gz\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100.0%\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Extracting ./data\\FashionMNIST\\raw\\train-labels-idx1-ubyte.gz to ./data\\FashionMNIST\\raw\n",
      "\n",
      "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-images-idx3-ubyte.gz\n",
      "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-images-idx3-ubyte.gz to ./data\\FashionMNIST\\raw\\t10k-images-idx3-ubyte.gz\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100.0%\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Extracting ./data\\FashionMNIST\\raw\\t10k-images-idx3-ubyte.gz to ./data\\FashionMNIST\\raw\n",
      "\n",
      "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-labels-idx1-ubyte.gz\n",
      "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-labels-idx1-ubyte.gz to ./data\\FashionMNIST\\raw\\t10k-labels-idx1-ubyte.gz\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100.0%"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Extracting ./data\\FashionMNIST\\raw\\t10k-labels-idx1-ubyte.gz to ./data\\FashionMNIST\\raw\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "execution_count": 3
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "3. 3层前馈神经网络（ReLU）",
   "id": "9ef8c156f9332096"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-26T16:18:09.167314Z",
     "start_time": "2024-09-26T16:16:47.681980Z"
    }
   },
   "cell_type": "code",
   "source": [
    "class SimpleNN(nn.Module):\n",
    "    def __init__(self):\n",
    "        super(SimpleNN, self).__init__()\n",
    "        self.fc1 = nn.Linear(28 * 28, 128)\n",
    "        self.fc2 = nn.Linear(128, 64)\n",
    "        self.fc3 = nn.Linear(64, 10)\n",
    "        self.relu = nn.ReLU()\n",
    "\n",
    "    def forward(self, x):\n",
    "        x = x.view(-1, 28 * 28)  # 展平\n",
    "        x = self.relu(self.fc1(x))\n",
    "        x = self.relu(self.fc2(x))\n",
    "        x = self.fc3(x)\n",
    "        return x\n",
    "\n",
    "# 训练与测试\n",
    "def train_and_evaluate(model, criterion, optimizer, num_epochs=10):\n",
    "    train_losses, test_losses = [], []\n",
    "    train_accuracies, test_accuracies = [], []\n",
    "\n",
    "    for epoch in range(num_epochs):\n",
    "        model.train()\n",
    "        running_loss = 0.0\n",
    "        correct = 0\n",
    "        total = 0\n",
    "\n",
    "        for images, labels in train_loader:\n",
    "            optimizer.zero_grad()\n",
    "            outputs = model(images)\n",
    "            loss = criterion(outputs, labels)\n",
    "            loss.backward()\n",
    "            optimizer.step()\n",
    "\n",
    "            running_loss += loss.item()\n",
    "            _, predicted = torch.max(outputs.data, 1)\n",
    "            total += labels.size(0)\n",
    "            correct += (predicted == labels).sum().item()\n",
    "\n",
    "        train_losses.append(running_loss / len(train_loader))\n",
    "        train_accuracies.append(correct / total)\n",
    "\n",
    "        # 测试阶段\n",
    "        model.eval()\n",
    "        test_loss = 0.0\n",
    "        correct = 0\n",
    "        total = 0\n",
    "\n",
    "        with torch.no_grad():\n",
    "            for images, labels in test_loader:\n",
    "                outputs = model(images)\n",
    "                loss = criterion(outputs, labels)\n",
    "                test_loss += loss.item()\n",
    "\n",
    "                _, predicted = torch.max(outputs.data, 1)\n",
    "                total += labels.size(0)\n",
    "                correct += (predicted == labels).sum().item()\n",
    "\n",
    "        test_losses.append(test_loss / len(test_loader))\n",
    "        test_accuracies.append(correct / total)\n",
    "\n",
    "    return train_losses, test_losses, train_accuracies, test_accuracies\n",
    "\n",
    "# 模型初始化\n",
    "model_relu = SimpleNN()\n",
    "criterion = nn.CrossEntropyLoss()\n",
    "optimizer = optim.Adam(model_relu.parameters(), lr=0.001)\n",
    "\n",
    "# 训练与评估\n",
    "train_losses_relu, test_losses_relu, train_acc_relu, test_acc_relu = train_and_evaluate(model_relu, criterion, optimizer, num_epochs=10)\n"
   ],
   "id": "1ddf89377071c781",
   "outputs": [],
   "execution_count": 4
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "4. 绘制损失曲线和准确度曲线（ReLU）",
   "id": "baed3c0b9e74edbf"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-26T16:18:53.908834Z",
     "start_time": "2024-09-26T16:18:53.685004Z"
    }
   },
   "cell_type": "code",
   "source": [
    "plt.figure(figsize=(12, 5))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.plot(train_losses_relu, label='Train Loss')\n",
    "plt.plot(test_losses_relu, label='Test Loss')\n",
    "plt.title('Loss Curve (ReLU)')\n",
    "plt.xlabel('Epoch')\n",
    "plt.ylabel('Loss')\n",
    "plt.legend()\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.plot(train_acc_relu, label='Train Accuracy')\n",
    "plt.plot(test_acc_relu, label='Test Accuracy')\n",
    "plt.title('Accuracy Curve (ReLU)')\n",
    "plt.xlabel('Epoch')\n",
    "plt.ylabel('Accuracy')\n",
    "plt.legend()\n",
    "\n",
    "plt.show()\n"
   ],
   "id": "2b219fa410552bb7",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 5
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "5. 5层前馈神经网络（ELU）",
   "id": "2fd5328e73b1f775"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-26T16:22:00.616048Z",
     "start_time": "2024-09-26T16:20:34.162233Z"
    }
   },
   "cell_type": "code",
   "source": [
    "class DeepNN(nn.Module):\n",
    "    def __init__(self):\n",
    "        super(DeepNN, self).__init__()\n",
    "        self.fc1 = nn.Linear(28 * 28, 256)\n",
    "        self.fc2 = nn.Linear(256, 128)\n",
    "        self.fc3 = nn.Linear(128, 64)\n",
    "        self.fc4 = nn.Linear(64, 32)\n",
    "        self.fc5 = nn.Linear(32, 10)\n",
    "        self.elu = nn.ELU()\n",
    "\n",
    "    def forward(self, x):\n",
    "        x = x.view(-1, 28 * 28)\n",
    "        x = self.elu(self.fc1(x))\n",
    "        x = self.elu(self.fc2(x))\n",
    "        x = self.elu(self.fc3(x))\n",
    "        x = self.elu(self.fc4(x))\n",
    "        x = self.fc5(x)\n",
    "        return x\n",
    "\n",
    "# 模型初始化与训练\n",
    "model_elu = DeepNN()\n",
    "optimizer_elu = optim.Adam(model_elu.parameters(), lr=0.001)\n",
    "\n",
    "train_losses_elu, test_losses_elu, train_acc_elu, test_acc_elu = train_and_evaluate(model_elu, criterion, optimizer_elu, num_epochs=10)\n"
   ],
   "id": "ebf95c33442d5c81",
   "outputs": [],
   "execution_count": 6
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "6. 绘制损失曲线和准确度曲线（ELU）",
   "id": "b5cf51c00b467557"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-26T16:22:09.239797Z",
     "start_time": "2024-09-26T16:22:09.018797Z"
    }
   },
   "cell_type": "code",
   "source": [
    "plt.figure(figsize=(12, 5))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.plot(train_losses_elu, label='Train Loss')\n",
    "plt.plot(test_losses_elu, label='Test Loss')\n",
    "plt.title('Loss Curve (ELU)')\n",
    "plt.xlabel('Epoch')\n",
    "plt.ylabel('Loss')\n",
    "plt.legend()\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.plot(train_acc_elu, label='Train Accuracy')\n",
    "plt.plot(test_acc_elu, label='Test Accuracy')\n",
    "plt.title('Accuracy Curve (ELU)')\n",
    "plt.xlabel('Epoch')\n",
    "plt.ylabel('Accuracy')\n",
    "plt.legend()\n",
    "\n",
    "plt.show()\n"
   ],
   "id": "2d1aabdac2700b0f",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 7
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "",
   "id": "7c5cdb87dfdafe5"
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
